Predicting corporate bankruptcy is one of the fundamental tasks in credit risk assessment. In
particular, since the 2007/2008 financial crisis, it has become a priority for most financial …

For financial institutions, the ability to predict or forecast business failures is crucial, as
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …

Bankruptcy prediction is an important problem in finance, since successful predictions would
allow stakeholders to take early actions to limit their economic losses. In recent years many …

There is an increasing interest in machine learning for bankruptcy prediction with more and
more researchers contributing to the literature. Although there is a considerable amount of …

There has been intensive research from academics and practitioners regarding models for
predicting bankruptcy and default events, for credit risk management. Seminal academic …

This article presents a comparative analysis of machine learning models for business failure
prediction. Bankruptcy prediction is crucial in assessing financial risks and making informed …

The corporate bankruptcy prediction literature has traditionally relied on data from public,
audited companies. However, the vast majority of firms worldwide are privately-held and …

Bankruptcy prediction problem has been intensively studied over the past decades. From
traditional statistical models to state of the art machine learning models, various predictive …

The implication of corporate bankruptcy prediction is important to financial institutions when
making lending decisions. In related studies, many bankruptcy prediction models have been …

The bankruptcy prediction model (BPM) is eminently essential for financial institutions to
verify the creditworthiness of companies or management. The inability to accurately predict …